AI ML Engineering Visa Sponsorship Jobs in North Carolina
North Carolina's AI/ML engineering job market is anchored by Research Triangle Park, one of the largest research and technology corridors in the country, with employers like Red Hat, Cisco, Lenovo, and SAS Institute actively hiring. Duke University and NC State also feed strong graduate pipelines into the region's growing AI infrastructure and data science sectors.
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Overview:
JAGGAER provides an intelligent Source-to-Pay and Supplier Collaboration Platform that empowers organizations to manage and automate complex processes while enabling a highly resilient, responsible, and integrated supplier base. With 30 years of expertise, we specialize in solving complex procurement and supply chain challenges across various industries.
Our 1,300+ global employees are obsessed with ensuring customers get full value from our products - ultimately enhancing and transforming their businesses.
JAGGAER is a proven industry leader of comprehensive sourcing & procurement solutions. Our SaaS-based, source-to-settle solution provides unparalleled visibility, insights and recommendations to procurement leaders and suppliers. The result is a fluid supply chain driven by powerful spend analysis, comprehensive contract management and efficient accounts payable solutions.
PRINCIPAL RESPONSIBILITIES:
We are seeking AI/ML Interns to join our AI & Innovation team. Our team is building the next generation of intelligent procurement solutions, leveraging Agentic AI, Retrieval-Augmented Generation (RAG), large language models (LLMs), and other cutting-edge AI technologies to transform how organizations manage sourcing and spend.
As an intern, you will contribute to real AI projects from day one—designing and building RAG pipelines, prototyping agentic workflows, and integrating LLMs into our product ecosystem. You will collaborate closely with our engineering and data science teams to bring AI-driven features from concept to production.
As an AI/ML Intern, we expect you will learn about JAGGAER’s business, our customers, and our technology while gaining hands-on experience with state-of-the-art AI tools and frameworks. You will have access to experienced engineers and researchers who are eager to mentor you and are equally interested in the fresh perspectives you bring. You will start working on meaningful AI projects right away.
ROLE RESPONSIBILITIES:
- Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases, embedding models, and LLM APIs.
- Prototype and build agentic AI workflows that autonomously plan, reason, and execute multi-step tasks within our procurement platform.
- Evaluate and benchmark LLMs and AI models for accuracy, latency, cost, and relevance across different procurement use cases.
- Develop and refine prompt engineering strategies to improve the quality and reliability of LLM-generated outputs.
- Build data ingestion and preprocessing pipelines to prepare enterprise documents for embedding and retrieval.
- Research emerging AI techniques (e.g., function calling, multi-agent orchestration, fine-tuning) and present findings to the team.
- Contribute to our library of reusable AI components, tools, and integration patterns.
- Participate in demos and feedback sessions to validate AI features with internal stakeholders and customers.
- Document AI experiments, model performance metrics, and architectural decisions to build our team’s knowledge base.
WHAT YOU WILL BRING:
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
- Strong programming skills in Python; familiarity with AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or scikit-learn.
- Exposure to LLM frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI API, or similar) is a plus.
- Foundational understanding of machine learning concepts, NLP, and deep learning architectures.
- Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS) and embedding techniques is a plus.
- Excellent communication, organization, and interpersonal skills with a genuine curiosity about emerging AI technologies.
- Relevant coursework or personal projects in AI, machine learning, or NLP are highly valued.
SUCCESS IN THIS POSITION:
- Demonstrates strong problem-solving skills and a passion for applying AI to real-world procurement challenges.
- Collaborates effectively with engineers, data scientists, and product managers to deliver AI-powered solutions.
- Embraces rapid prototyping and iterative experimentation—comfortable with ambiguity and evolving AI technologies.
- Balances research exploration with a bias toward shipping—turning AI experiments into production-ready features.
- Takes initiative in learning new AI tools, techniques, and frameworks with minimal direction.
- Brings fresh ideas on how AI can improve our products, processes, and customer outcomes.
- Finds genuine excitement in pushing the boundaries of what AI can do for enterprise procurement.
WHAT WE OFFER:
We strive to support our Rockstar’s & their families. Your health & wellbeing are important. JAGGAER offers a variety of programs to help you manage your overall wellness and be your best self. At JAGGAER you’ll find great medical plans, adoption benefits, wellness reimbursement, generous parental leave, 401(k) match, a flexible work environment, no limit vacation days for exempt employees and much more!
OUR VALUES - T.E.A.M:
At JAGGAER, our business is about people. Our products are built on intellectual property, but the real differentiator is the teams behind them–the way we collaborate, innovate, solve problems and deliver for customers. TEAM gives us a common set of expectations for how we work together across products, cultures, and geographies.
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Transparency - Openness Builds Trust: Candor strengthens relationships, speeds decision-making, and ensures problems are solved together—with customers, teammates, and partners.
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Entrepreneurial Spirit – Own It, Drive It, Make It: A scrappy, customer-obsessed, problem-solving mindset is at the cornerstone of both organizational and personal growth.
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Accountability – Thumbs In, Not Fingers Out: We take responsibility for ourselves before pointing elsewhere.
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Metrics-Driven Results – Outcomes Over Activities: Data and evidence guide our decisions, help us course-correct quickly, and ensure we’re delivering real impact.
EEO:
JAGGAER is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based upon race, ethnicity, ancestry, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military, or veteran status, mental or physical disability, or other applicable legally protected characteristics.
ACCESSIBILITY:
JAGGAER is committed to providing access and reasonable accommodation to applicants. If you are a qualified individual with a disability or a disabled veteran and you think you may require an accommodation for any part of the recruitment process, please send a request to: hr@jaggaer.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
Pay Transparency Nondiscrimination Provision (dol.gov)
Know Your Rights: Workplace Discrimination is Illegal (dol.gov)
AI ML Engineering Job Roles in North Carolina
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Search AI ML Engineering Jobs in North CarolinaAI ML Engineering Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for AI/ML engineers in North Carolina?
Several large technology and research employers in North Carolina have established H-1B visa sponsorship track records, including SAS Institute, Red Hat, Cisco, Lenovo, and IBM, which maintain significant operations in the Research Triangle area. Healthcare technology companies such as Labcorp and Syneos Health also sponsor AI/ML roles. Checking DOL Labor Condition Application disclosure data shows which employers have filed LCAs for machine learning and AI engineering positions specifically.
Which visa types are most common for AI/ML engineering roles in North Carolina?
The H-1B is the most common visa for AI/ML engineers in North Carolina, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, data science, or a related field. The O-1A is an option for engineers with documented extraordinary ability, such as published research or patents. F-1 graduates from NC State, Duke, or UNC can work on OPT or STEM OPT before an employer files an H-1B petition.
How to find ai ml engineering visa sponsorship jobs in North Carolina?
Migrate Mate filters AI/ML engineering jobs specifically by visa sponsorship availability, making it straightforward to identify North Carolina employers actively open to sponsoring international candidates. Rather than manually screening hundreds of listings, you can search Migrate Mate for roles in cities like Raleigh, Durham, Charlotte, and Cary, where most of the state's AI hiring is concentrated.
Which cities in North Carolina have the most AI/ML engineering sponsorship jobs?
Raleigh and Durham are by far the most active cities for AI/ML engineering sponsorship, driven by Research Triangle Park and the proximity to NC State University and Duke University. Charlotte has a growing technology sector with AI roles tied to financial services and fintech companies. Cary, which hosts SAS Institute's headquarters, is another consistent source of machine learning and data engineering positions open to sponsored candidates.
Are there state-specific factors AI/ML engineers should know when pursuing sponsorship in North Carolina?
Research Triangle Park's concentration of technology, life sciences, and enterprise software companies means AI/ML roles here often overlap with biomedical data and clinical analytics, which can affect the degree field an employer lists on the LCA. NC State's well-regarded computer science and statistics programs create a large local candidate pool, so demonstrating specialized ML expertise, graduate-level education, or relevant research experience tends to strengthen sponsorship petitions filed by North Carolina employers.
What is the prevailing wage for sponsored ai ml engineering jobs in North Carolina?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.